Analysis · AI regulation in India

India's proposed frontier AI law: what it could mean for companies building on AI in India

Reports this week say India is considering a law with a separate safety framework for the most powerful AI models, possibly including testing before release. Nothing is final. Most companies will be deployers rather than frontier developers, but the direction of travel is worth preparing for now.

AnalysisSumanta Mukhopadhyay7 min read6 sources
#news#ai#governance
ANALYSIS · ANALYSIS · AI REGULATION IN INDIA30 Oct 2026 · 00:30 GST

What is reported

Reports on 28 October 2026 say India is considering a new AI law that could create a separate safety framework for the most powerful AI models, requiring developers to show adequate safeguards before public release2. Options reportedly under discussion include pre-release evaluation, testing in controlled environments and sandbox requirements, with a consultation paper expected soon1. Earlier in October, the IT Minister was reported as saying a regulation blueprint would follow within a month4, and coverage has also described proposals for safeguards on high-risk AI systems3. None of this is final.

Who it could affect

Frontier rules target the companies that build the most capable models. Most organisations in India build applications on top of models: they choose a model, add tools and data, and ship an agent or feature. That layering matters, because obligations tend to follow the layer you control.

Diagram of an AI agent framework above several AI agent applications, each built from a model and tools
Applications combine a model with tools; frontier rules aim at the model layer, while deployer duties attach to the application. Source: OpenTelemetry blog, Guangya Liu and Sujay Solomon · CC BY 4.0
Frontier developers
Pre-release testingreported focusSandbox requirementsunder discussion
Application builders
Model choice and evidencewhat you rely onDeepfake and fraud controlsexpected topics
All data fiduciaries
DPDP Rulesfirm timelines alreadyConsent and retentionfor AI uses too
The proposed law is uncertain; DPDP obligations are not. Plan for both layers.

What to prepare now

Whatever the final shape, the evidence regulators ask for tends to be the same: what AI you run, how you tested it, how you watch it in production, and how people can challenge it. Building that evidence is useful whether or not the law passes.

  1. InventoryEvery AI system, the model behind it and its owner
  2. ClassifyWhich uses could be high-risk: credit, hiring, health, identity
  3. TestEvaluation sets and red-teaming before each release
  4. MonitorProduction tracing, incidents and drift
  5. LabelDisclose AI-generated content and guard against impersonation
  6. EngageRead the consultation and respond with your evidence
Evidence you build for safety is the evidence any regulator will ask for.
AreaStatusAction now
Frontier model safety frameworkUnder consideration12Track the consultation; check your model providers' testing evidence
Deepfakes, fraud and impersonationExpected in consultation1Content labelling, identity checks and abuse monitoring
DPDP RulesNotified November 2025, phasing in over 18 months5Consent, retention and breach handling, including for AI uses

Do not wait for the final text to build an AI inventory and evaluation evidence. Those are the first things any version of the law will ask for.

CTO take

For most companies in India this is a watch-and-prepare item, not a fire drill. The firm deadline is the DPDP Rules, so put effort there first, and make sure AI uses are inside that programme rather than beside it. In parallel, build the inventory, evaluation and monitoring that any AI regime will expect, and ask your model providers what testing evidence they can share. Global teams will recognise the pattern from the EU AI Act and Korea's AI Basic Act. Related: a DPDP-ready consent platform, evaluation sets that predict production and tech news for 29 October.

How I can help

I am based in India, the United States and the UAE, and help teams build AI governance that satisfies regulators without slowing delivery. See fractional CTO in India, or analyse your challenge and bring the result to a call.

References
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
    AI Agent Observability: evolving standards and best practicesOpenTelemetry blog (Guangya Liu, Sujay Solomon) · 6 Mar 2025
FAQ

Common questions

Has India passed an AI law?

No. Reports in October 2026 say the government is considering a new AI law, possibly with a separate safety framework for the most powerful models, and that a consultation paper is expected. Nothing has been decided.

Would it apply to companies that only use AI models?

Reporting focuses on developers of the most capable models, with pre-release checks under discussion. Other expected topics, such as deepfakes, fraud and impersonation, could affect companies deploying AI. The consultation will clarify scope.

What should companies in India do now?

Keep an inventory of AI systems and the models they rely on, build evaluation and monitoring evidence, prepare for content labelling and deepfake controls, and continue DPDP readiness, which already has firm dates.

Keep reading

Related

Open to advisory, fractional CTO & select builds

Let's talk about what you're building.

The fastest route is a free 30-minute call. Prefer to write? Send a message and I'll reply personally within two business days.

Start a conversation

How would you like to reach me?

Book a 30-min callFastest. Pick any open slot on my calendar.→ Write in GmailOpens a pre-filled draft in your browser.→ Use my email appOutlook, Apple Mail or your default client.→

I reply personally within two business days. Time zones from the Americas and Europe to the Middle East and Asia-Pacific.